AI Engineer (m/w/d)

Trelleborg is a world leader in engineered polymer solutions for almost every industry on the planet. And we are where we are because our talents brought us here. By specializing in the polymer engineering that makes innovation and application possible, Trelleborg works closely with leading industry brands to accelerate their performance, drive their business forward—and along the way, shape the industry and progress that will benefit humankind in the exciting years ahead. Our people are Shaping Industry from the Inside. Why don´t you join us? 

Plats

DEU - Stuttgart

Arbetsplats

Hybrid
Sista ansökningsdag 2026-11-08 Plats: DEU - Stuttgart
As an AI Engineer (m/w/d), you will play a key role in designing, developing, and deploying AI and Machine Learning solutions, ranging from traditional predictive models to cutting-edge Generative AI applications. You'll work on high-impact global projects while contributing to our central AI & Data Platform that enables teams across the organization to scale AI securely and effectively.

Your Responsibilities

  • Lead AI and Machine Learning use cases from concept through production deployment
  • Develop and maintain machine learning models and Generative AI solutions
  • Design and enhance components of our global AI & Data Platform
  • Evaluate emerging AI technologies, tools, and frameworks and recommend innovative solutions
  • Collaborate with business stakeholders, software engineers, data engineers, and platform teams across multiple business areas
  • Ensure AI solutions meet data privacy, security, and compliance requirements
  • Monitor, optimize, and continuously improve deployed AI applications and platform services
  • Share best practices and contribute to AI innovation across the organization

What You'll Bring

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Engineering, Physics, or a related quantitative discipline
  • Several years of hands-on experience in AI, Machine Learning, Software Engineering, or Data Engineering
  • Proven experience developing and deploying AI/ML solutions in production environments
  • Exposure to Generative AI, Large Language Models (LLMs), or related technologies is highly desirable
  • Experience working across different business domains and stakeholder groups is an advantage
  • Strong programming skills in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or scikit-learn
  • Knowledge of Generative AI technologies and frameworks such as Azure OpenAI, LangChain, Hugging Face, or vector databases
  • Understanding of cloud-based data and AI platforms
  • Experience with MLOps/LLMOps practices and responsible AI principles
  • Passion for learning and staying at the forefront of AI innovation
  • Fluency in English

Why Work With Us?

  • A modern, engaging work environment with opportunities for growth and continuous learning
  • International collaboration and a supportive team culture, including flexible and remote work options
  • Participation in impactful projects with exposure to diverse and interesting business processes
  • Commitment to innovation, excellence, sustainability, and social responsibility - your work contributes to digital transformation and positive environmental and social impact
  • Healthy, diverse culinary options in our company restaurant, plus game, relaxation, and fitness zones
  • Excellent transport connections (3-minute walk to S-Bahn/U-Bahn) and an on-site parking garage with 100+ free e-charging stations as part of our mobility concept

Start shaping industry from the inside!

We value diversity and appreciate the unique experience and expertise that people from different backgrounds bring to our business. Our ability to innovate and develop groundbreaking technologies is one of our greatest strengths - and our people make it possible.

Ansökan

Du hittar länken till din LinkedIn-profil här

Less than 2 years
2-5 years
5-8 years
8+ years
Designing, building, and deploying Machine Learning models to production
Developing Generative AI solutions (LLMs, RAG, AI Agents, copilots, chatbots)
Software Engineering with Python and cloud technologies
Data Engineering (data pipelines, ETL/ELT, data platforms)
MLOps / LLMOps
Cloud-based AI solutions (Azure, AWS, GCP)
None of the above
Beginner
Advanced
Expert
Azure
AWS
Google Cloud
Other cloud platform
No cloud experience
Yes
Yes, willing to relocate
No
Yes
No

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